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Barandela et al., 2003 - Google Patents

Restricted decontamination for the imbalanced training sample problem

Barandela et al., 2003

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Document ID
6397898634384897269
Author
Barandela R
Rangel E
Sánchez J
Ferri F
Publication year
Publication venue
Iberoamerican congress on pattern recognition

External Links

Snippet

The problem of imbalanced training data in supervised methods is currently receiving growing attention. Imbalanced data means that one class is much more represented than the others in the training sample. It has been observed that this situation, which arises in …
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Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G06K9/6269—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on the distance between the decision surface and training patterns lying on the boundary of the class cluster, e.g. support vector machines
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    • G06K9/6228—Selecting the most significant subset of features
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    • G06K9/6279—Classification techniques relating to the number of classes
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    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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    • G06K9/6261—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation partitioning the feature space
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    • G06K9/62—Methods or arrangements for recognition using electronic means
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